From Awareness to Accountability: Building Your AI Governance Foundation

Regulatory guidance on AI in healthcare keeps shifting. Learn how the AI ecosystem, compliance requirements, and personal ethics intersect — and why fluency matters regardless of your role.

Learning Objectives

• Explain the components of the AI ecosystem in healthcare — including data provenance, model training, and validation — and how weaknesses at any stage introduce downstream governance risk.
• Examine the relationship between AI governance and adjacent healthcare compliance domains, including HIPAA, Meaningful Use, and technology assurance frameworks such as SOC 2 and HITRUST, to identify where obligations overlap and where gaps remain.
• Assess the adequacy of their own decision-making approach to AI-related choices in their role, particularly in situations where organizational policy is absent, outdated, or actively being revised.
• Justify why AI fluency — technical literacy, terminology, and governance awareness — is a baseline expectation across every health IT role, not a specialization reserved for technical or compliance staff.

Speakers

• Jeffrey Weide, DBA, FACHE, CPHIMS, PMP, Product Manager, Symplr
• Dr. Oluwaseun (Seun) Olaniran, MD, MHIT, CCDS, CDIP, Medical Director, Clinical Performance, Accuity Healthcare (Mount Laurel, NJ)
• Lauren Kaye, Vice President, Strategy, BENZAIT (Chicago, IL)

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